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Early confidence-bearing transduction and rank-based credibility

Contribution grade

Foundations of reliable machine learning · Human-designed research method or resource

Reference score300,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Develops support-vector transductive predictions with confidence/possibility measures, followed by rank-based p-values and separate confidence/credibility in an improved transductive classifier.

Scientific scope

Develops support-vector transductive predictions with confidence/possibility measures, followed by rank-based p-values and separate confidence/credibility in an improved transductive classifier. The record combines the 1998 UAI and 1999 IJCAI lineage, rather than the entire later conformal-prediction theory. Exchangeability or independent sampling, per-label refitting and combinatorial multi-test costs remain important. Confidence is not a posterior probability that an answer is correct.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The record combines the 1998 UAI and 1999 IJCAI lineage, rather than the entire later conformal-prediction theory. Exchangeability or independent sampling, per-label refitting and combinatorial multi-test costs remain important. Confidence is not a posterior probability that an answer is correct.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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